Senior Fullstack AI Engineer

Job Description: Senior Full Stack AI Engineer

No of Positions: 2

Location: Mumbai - Looking for Mumbai based candidates only.

Reach Education Pvt. Ltd. is an educational services firm based in Mumbai, India. We are a premium higher education advisory firm founded by HBS (MBA'2010) and CMU (Tepper'2003) alum Vibha Kagzi focused on counselling students targeting top-tier schools internationally.

We are seeking a highly skilled AI Engineer to join our team and drive the development of an AI-powered, voice-first product. We are Building an AI Career Coach for Youth (HelloIvy.ai)

About HelloIvy.ai

HelloIvy.ai is an AI-powered career coach built to help young people make informed, confident career decisions earlier in life. Millions of students choose education and career paths with limited guidance, outdated information, or social bias. Our mission is to change that—by combining high-quality career data, behavioral science, and AI to provide personalized, accessible, and scalable career guidance.

Our goal is simple and measurable: help students reduce career misalignment, improve employability outcomes, and make decisions backed by data—not guesswork.

Role Overview

We are looking for a senior full-stack AI Engineer to help design, build, and scale the core intelligence behind HelloIvy.ai. You will work on models and systems that understand users, reason over career pathways, and deliver personalized guidance at scale.

This is a high-impact role where your work directly influences how thousands (and eventually millions) of young people understand themselves, explore careers, and make life-shaping decisions.

What You’ll Work On

• Design and build AI systems for personalized career guidance, including:
• Skill inference from user inputs (profiles, assessments, conversations)
• Career matching and recommendation engines
• Learning and career pathway modeling
• Develop and improve LLM-based workflows (prompting, chaining, retrieval, evaluation)
• Build data pipelines combining user behavior, labor market data, education data, and skills taxonomies
• Implement evaluation metrics for relevance, accuracy, bias, and user outcomes
• Optimize models for scalability, latency, and cost as user volume grows
• Collaborate closely with product, design, and domain experts in education and careers

Skills & Qualifications

Required

• Minimum 4 years of work experience.
• Strong foundation in machine learning and applied AI
• Hands-on experience with LLMs (e.g., OpenAI, Anthropic, open-source models)
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)
• Experience with:
• Recommendation systems, ranking, or personalization
• NLP or conversational AI
• Ability to translate ambiguous human problems into structured AI solutions
• Deployment and maintainance on Azure platform
• Comfort working in a fast-moving, early-stage environment

Preferred

• Experience with RAG systems, embeddings, vector databases
• Familiarity with career, education, or skills data (e.g., O*NET, ESCO, labor market datasets)
• Exposure to bias, fairness, or explainability in AI systems
• Experience deploying models into production (APIs, monitoring, iteration loops)

What We Value

• Purpose orientation: You care about real-world impact, not just model performance
• Systems thinking: You optimize end-to-end outcomes, not isolated components
• Data-driven mindset: You define success with metrics (accuracy, engagement, outcome improvement)
• User empathy: You understand that behind every query is a young person making a high-stakes decision

Impact You’ll Have

• Directly shape how users receive career guidance at scale
• Contribute to reducing career mismatch and wasted education spend
• Help build an AI system that improves outcomes, not just engagement
• Influence the technical foundation of a mission-driven AI product from an early stage

Why Join HelloIvy.ai

• Work on a meaningful AI problem with long-term social impact
• Ownership over core AI architecture and decision-making
• Opportunity to scale a product that can reach millions of students globally
• Small team, high responsibility, and fast learning curve

Pay: ₹35,000.00 - ₹70,000.00 per month

Work Location: In person